TY - GEN
T1 - Clustering social networks using interaction semantics and sentics
AU - Chandra, Praphul
AU - Cambria, Erik
AU - Hussain, Amir
PY - 2012
Y1 - 2012
N2 - The passage from a static read-only Web to a dynamic read-write Web gave birth to a huge amount of online social networks with the ultimate goal of making communication easier between people with common interests. Unlike real world social networks, however, online social groups tend to form for extremely varied and multi-faceted reasons. This makes very difficult to group members of the same social network in subsets in a way that certain types of contents are shared with just certain types of friends. Moreover, such a task is usually too tedious to be performed manually and too complex to be performed automatically. In this work, we propose a new approach for automatically clustering social networks, which exploits interaction semantics and sentics, that is, the conceptual and affective information associated with the interactive behavior of online social network members.
AB - The passage from a static read-only Web to a dynamic read-write Web gave birth to a huge amount of online social networks with the ultimate goal of making communication easier between people with common interests. Unlike real world social networks, however, online social groups tend to form for extremely varied and multi-faceted reasons. This makes very difficult to group members of the same social network in subsets in a way that certain types of contents are shared with just certain types of friends. Moreover, such a task is usually too tedious to be performed manually and too complex to be performed automatically. In this work, we propose a new approach for automatically clustering social networks, which exploits interaction semantics and sentics, that is, the conceptual and affective information associated with the interactive behavior of online social network members.
KW - NLP
KW - Sentic Computing
KW - Social Network Analysis
UR - https://www.scopus.com/pages/publications/84865150677
U2 - 10.1007/978-3-642-31346-2_43
DO - 10.1007/978-3-642-31346-2_43
M3 - Conference contribution
AN - SCOPUS:84865150677
SN - 9783642313455
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 379
EP - 385
BT - Advances in Neural Networks, ISNN 2012 - 9th International Symposium on Neural Networks, Proceedings
T2 - 9th International Symposium on Neural Networks, ISNN 2012
Y2 - 11 July 2012 through 14 July 2012
ER -